About

Jegadheesan N is an experienced Data Engineer with expertise in Hadoop ecosystem and its components like Hive, Spark, Sqoop, and HDFS. He is proficient in programming languages such as C++, Python, SQL, and Shell script. Jegadheesan has built robust ETL pipelines using Hive and Spark that can process 100+TB of raw transaction and account-level data. Currently, Jegadheesan works as a Data Engineer at Visa, where he has built ETL pipelines in Spark and Hive that process transaction and account-level data. He has standardized data fields across various data sources, generating reports with revenue earned by Visa through Operating Certificates submitted by banks vs raw transactions processed through the Visa network. His work provides drill-down with dimensions such as metric, product (credit/debit/prepaid), member, and geography (region/country). The finance business team can do YoY trend analysis on revenue earned by Visa and make financial decisions on top of it. Jegadheesan's past experience includes an internship at Visa, where he designed a Cost Center Manager Dashboard using Tableau. The dashboard provided meaningful insights by bringing together data from different systems, such as geographic/region-wise spending, employee headcount/man-hours, budgeting, and forecasting on how organization money operates. Jegadheesan holds a Bachelor of Technology degree in Information Technology from Anna University. His technical skills include Data Engineering, SQL, Spark, Python, Apache Hive, Hadoop, ETL, and HDFS. With 3.87 years of relevant experience, Jegadheesan is a skilled Data Engineer who can build robust ETL pipelines and provide meaningful insights through data visualization.